Maximum minimal vertex cover parameterized by vertex cover

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The parameterized complexity of problems is often studied with respect to the size of their optimal solutions. However, for a maximization problem, the size of the optimal solution can be very large, rendering algorithms parameterized by it inefficient. Therefore, we suggest to study the parameterized complexity of maximization problems with respect to the size of the optimal solutions to their minimization versions. We examine this suggestion by considering the Maximum Minimal Vertex Cover (MMVC) problem, whose minimization version, Vertex Cover, is one of the most studied problems in the field of Parameterized Complexity. Our main contribution is a parameterized approximation algorithm for MMVC, including its weighted variant. We also give conditional lower bounds for the running times of algorithms for MMVC and its weighted variant.

Original languageEnglish
Title of host publicationMathematical Foundations of Computer Science 2015 - 40th International Symposium, MFCS 2015, Proceedings
EditorsGiuseppe F. Italiano, Giovanni Pighizzini, Donald T. Sannella
PublisherSpringer Verlag
Pages589-600
Number of pages12
ISBN (Print)9783662480533
DOIs
StatePublished - 1 Jan 2015
Externally publishedYes
Event40th International Symposium on Mathematical Foundations of Computer Science, MFCS 2015 - Milan, Italy
Duration: 24 Aug 201528 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9235
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference40th International Symposium on Mathematical Foundations of Computer Science, MFCS 2015
Country/TerritoryItaly
CityMilan
Period24/08/1528/08/15

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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